Description: Data lifecycle monitoring refers to the systematic process of overseeing and managing data throughout all stages of its existence, from creation and storage to usage and eventual disposal. This comprehensive approach enables organizations to ensure the quality, integrity, and security of data at every phase. As data is generated, transformed, and utilized, it is crucial to have monitoring mechanisms in place that facilitate the identification of issues such as data loss, corruption, or unauthorized access. Furthermore, data lifecycle monitoring helps comply with data protection regulations and standards, ensuring that data is handled ethically and responsibly. Key features of this process include data traceability, access and change auditing, and the implementation of retention and disposal policies. In a world where data is a valuable asset, data lifecycle monitoring becomes an essential practice to maximize its utility and minimize risks associated with improper handling.
